{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# OpenAI Compatible API\n",
    "\n",
    "[txtai](https://github.com/neuml/txtai) is an all-in-one embeddings database for semantic search, LLM orchestration and language model workflows.\n",
    "\n",
    "`txtai` has long been able host a [FastAPI based service](https://neuml.github.io/txtai/api/). There are clients for [Python](https://github.com/neuml/txtai.py), [JavaScript](https://github.com/neuml/txtai.js), [Java](https://github.com/neuml/txtai.java), [Rust](https://github.com/neuml/txtai.rs), [Go](https://github.com/neuml/txtai.go).\n",
    "\n",
    "The API service also supports hosting OpenAI-compatible API endpoints. A standard OpenAI client can then be used to connect to a `txtai` service. This enables quickly trying `txtai` with a familiar-to-use client. It's also a way to do local/offline development testing using the OpenAI client.\n",
    "\n",
    "This notebook will walk through comprehensive examples."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Start API service\n",
    "\n",
    "For this notebook, we'll run `txtai` through Docker.\n",
    "\n",
    "Save the following to `/tmp/config/config.yml`.\n",
    "\n",
    "## config.yml\n",
    "```yaml\n",
    "# Enable OpenAI compat endpoint\n",
    "openai: True\n",
    "\n",
    "# Load Wikipedia Embeddings index\n",
    "cloud:\n",
    "  provider: huggingface-hub\n",
    "  container: neuml/txtai-wikipedia\n",
    "\n",
    "# LLM instance\n",
    "llm:\n",
    "  path: llava-hf/llava-interleave-qwen-0.5b-hf\n",
    "\n",
    "# RAG pipeline configuration\n",
    "rag:\n",
    "  path: hugging-quants/Meta-Llama-3.1-8B-Instruct-AWQ-INT4\n",
    "  output: flatten\n",
    "  system: You are a friendly assistant. You answer questions from users.\n",
    "  template: |\n",
    "    Answer the following question using only the context below. Only include information\n",
    "    specifically discussed.\n",
    "\n",
    "    question: {question}\n",
    "    context: {context}\n",
    "\n",
    "# Text to Speech\n",
    "texttospeech:\n",
    "  path: neuml/kokoro-fp16-onnx\n",
    "\n",
    "# Transcription\n",
    "transcription:\n",
    "  path: distil-whisper/distil-large-v3\n",
    "```\n",
    "\n",
    "Start Docker service.\n",
    "\n",
    "```\n",
    "docker run -it -p 8000:8000 -v /tmp/config:/config -e CONFIG=/config/config.yml \\\n",
    "--entrypoint uvicorn neuml/txtai-gpu --host 0.0.0.0 txtai.api:app\n",
    "```\n",
    "\n",
    "Alternatively, txtai can be directly installed and run as follows:\n",
    "\n",
    "```\n",
    "pip install txtai[all] autoawq autoawq-kernels\n",
    "CONFIG=/tmp/config/config.yml uvicorn \"txtai.api:app\"\n",
    "```\n",
    "\n",
    "The API has token-based authorization built-in. [Read more on that here](https://neuml.github.io/txtai/api/customization/#dependencies)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Run a text chat completion\n",
    "\n",
    "The first example will run a text chat completion. The model is a RAG pipeline - this is more sophisticated than just a simple LLM call!\n",
    "\n",
    "Agents, pipelines and workflows can all be run through this interface!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The iPhone is a line of smartphones designed and marketed by Apple Inc. that uses Apple's iOS mobile operating system. The first-generation iPhone was announced by former Apple CEO Steve Jobs on January 9, 2007. \n",
      "\n",
      "Since then, Apple has annually released new iPhone models and iOS updates. The most recent models being the iPhone 16 and 16 Plus, and the higher-end iPhone 16 Pro and 16 Pro Max. \n",
      "\n",
      "More than 2.3 billion iPhones have been sold as of January 1, 2024, making Apple the largest vendor of mobile phones in 2023."
     ]
    }
   ],
   "source": [
    "from openai import OpenAI\n",
    "\n",
    "client = OpenAI(\n",
    "    base_url=\"http://localhost:8000/v1\",\n",
    "    api_key=\"api-key\",\n",
    ")\n",
    "\n",
    "response = client.chat.completions.create(\n",
    "    messages=[{\n",
    "        \"role\": \"user\",\n",
    "        \"content\": \"Tell me about the iPhone\",\n",
    "    }],\n",
    "    model=\"rag\",\n",
    "    stream=True\n",
    ")\n",
    "\n",
    "for chunk in response:\n",
    "    if chunk.choices:\n",
    "        print(chunk.choices[0].delta.content, end=\"\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As mentioned above, the model supports much of what's available in `txtai`. For example, let's run a chat completion that runs an embeddings search."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The iPhone is a line of smartphones designed and marketed by Apple Inc. that uses Apple's iOS mobile operating system. The first-generation iPhone was announced by former Apple CEO Steve Jobs on January 9, 2007. Since then, Apple has annually released new iPhone models and iOS updates. iPhone naming has followed various patterns throughout its history.\n"
     ]
    }
   ],
   "source": [
    "response = client.chat.completions.create(\n",
    "    messages=[{\n",
    "        \"role\": \"user\",\n",
    "        \"content\": \"Tell me about the iPhone\",\n",
    "    }],\n",
    "    model=\"embeddings\",\n",
    ")\n",
    "\n",
    "print(response.choices[0].message.content)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Vision models\n",
    "\n",
    "Any supported `txtai` LLM can be run through the chat completion API. Let's run an example that describes an image."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The image shows a logo with the text \"Txtai\" in blue and green colors. The\n"
     ]
    }
   ],
   "source": [
    "response = client.chat.completions.create(\n",
    "    model=\"llm\",\n",
    "    messages = [{\n",
    "        \"role\": \"user\",\n",
    "        \"content\": [\n",
    "            {\"type\": \"text\", \"text\": \"What is in this image?\"},\n",
    "            {\"type\": \"image_url\", \"image_url\": {\n",
    "                \"url\": \"https://raw.githubusercontent.com/neuml/txtai/master/logo.png\",\n",
    "            }}\n",
    "        ]}\n",
    "    ]\n",
    ")\n",
    "print(response.choices[0].message.content)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Embeddings API\n",
    "\n",
    "Next let's generate embeddings. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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-0.007895039394497871, 0.042976900935173035, -0.06253521889448166, 0.02173938974738121, 0.01422695629298687, 0.06118226796388626], index=0, object='embedding')\n"
     ]
    }
   ],
   "source": [
    "for x in client.embeddings.create(input=\"This is a test\", model=\"vectors\").data:\n",
    "    print(x)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This uses the vector model associated with the current embeddings database."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Text to Speech (TTS)\n",
    "\n",
    "This API can do more than just work with text. Let's generate speech. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "                <audio  controls=\"controls\" >\n",
       "                    <source 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\" type=\"audio/mpeg\" />\n",
       "                    Your browser does not support the audio element.\n",
       "                </audio>\n",
       "              "
      ],
      "text/plain": [
       "<IPython.lib.display.Audio object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from IPython.display import Audio, display\n",
    "\n",
    "with client.audio.speech.with_streaming_response.create(\n",
    "    model=\"neuml/kokoro-fp16-onnx\",\n",
    "    input=\"txtai is an all-in-one embeddings database for semantic search, LLM orchestration and semantic workflows\",\n",
    "    voice=\"bm_lewis\",\n",
    ") as response:\n",
    "    response.stream_to_file(file=\"out.mp3\")\n",
    "\n",
    "display(Audio(\"out.mp3\"))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Transcription\n",
    "\n",
    "The generated speech can also be transcribed back to text."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\"Text AI is an all in one embedding's database for semantic search, LLM orchestration and semantic workflows.\""
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "f = open(\"out.mp3\", \"rb\")\n",
    "client.audio.transcriptions.create(\n",
    "    model=\"whisper\",\n",
    "    file=f\n",
    ").text"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# JavaScript client\n",
    "\n",
    "Given that this is an OpenAI-compatible API, other OpenAI clients are also supported. Let's try a few examples with the JavaScript client.\n",
    "\n",
    "Install via `npm install openai`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Overwriting chat.js\n"
     ]
    }
   ],
   "source": [
    "%%writefile chat.js\n",
    "\n",
    "import OpenAI from \"openai\";\n",
    "\n",
    "const openai = new OpenAI({\n",
    "    baseURL: \"http://localhost:8000/v1\",\n",
    "    apiKey: \"api-key\"\n",
    "});\n",
    "\n",
    "async function main() {\n",
    "    const stream = await openai.chat.completions.create({\n",
    "        model: \"rag\",\n",
    "        messages: [{ role: \"user\", content: \"Tell me about the iPhone\" }],\n",
    "        stream: true,\n",
    "    });\n",
    "\n",
    "    for await (const chunk of stream) {\n",
    "        process.stdout.write(chunk.choices[0]?.delta?.content || \"\");\n",
    "    }\n",
    "}\n",
    "\n",
    "main();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The iPhone is a line of smartphones designed and marketed by Apple Inc. that uses Apple's iOS mobile operating system. The first-generation iPhone was announced by former Apple CEO Steve Jobs on January 9, 2007. As of January 1, 2024, more than 2.3 billion iPhones have been sold, making Apple the largest vendor of mobile phones in 2023."
     ]
    }
   ],
   "source": [
    "!node --no-warnings chat.js"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As we can see, this is the same output as we had earlier with the Python client.\n",
    "\n",
    "Let's try generating speech."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Overwriting speech.js\n"
     ]
    }
   ],
   "source": [
    "%%writefile speech.js\n",
    "\n",
    "import fs from \"fs\";\n",
    "import path from \"path\";\n",
    "import OpenAI from \"openai\";\n",
    "\n",
    "const openai = new OpenAI({\n",
    "    baseURL: \"http://localhost:8000/v1\",\n",
    "    apiKey: \"api-key\"\n",
    "});\n",
    "\n",
    "const speechFile = path.resolve(\"./speech.mp3\");\n",
    "\n",
    "async function main() {\n",
    "  const mp3 = await openai.audio.speech.create({\n",
    "    model: \"neuml/kokoro-fp16-onnx\",\n",
    "    input: \"txtai is an all-in-one embeddings database for semantic search, LLM orchestration and semantic workflows\",\n",
    "    voice: \"bm_lewis\",\n",
    "  });\n",
    "\n",
    "  const buffer = Buffer.from(await mp3.arrayBuffer());\n",
    "  await fs.promises.writeFile(speechFile, buffer);\n",
    "}\n",
    "\n",
    "main();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "!node --no-warnings speech.js"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "                <audio  controls=\"controls\" >\n",
       "                    <source 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\" type=\"audio/mpeg\" />\n",
       "                    Your browser does not support the audio element.\n",
       "                </audio>\n",
       "              "
      ],
      "text/plain": [
       "<IPython.lib.display.Audio object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(Audio(\"speech.mp3\"))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Speech is the same as above, as expected."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Overwriting transcribe.js\n"
     ]
    }
   ],
   "source": [
    "%%writefile transcribe.js\n",
    "\n",
    "import fs from \"fs\";\n",
    "import OpenAI from \"openai\";\n",
    "\n",
    "const openai = new OpenAI({\n",
    "    baseURL: \"http://localhost:8000/v1\",\n",
    "    apiKey: \"api-key\"\n",
    "});\n",
    "\n",
    "async function main() {\n",
    "  const transcription = await openai.audio.transcriptions.create({\n",
    "    file: fs.createReadStream(\"speech.mp3\"),\n",
    "    model: \"whisper\",\n",
    "  });\n",
    "\n",
    "  console.log(transcription.text);\n",
    "}\n",
    "\n",
    "main();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Text AI is an all in one embedding's database for semantic search, LLM orchestration and semantic workflows.\n"
     ]
    }
   ],
   "source": [
    "!node --no-warnings transcribe.js"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Wrapping up\n",
    "\n",
    "This notebook covered how to setup an OpenAI-compatible API endpoint for txtai. It enables quickly trying `txtai` with a familiar-to-use client. It's also a way to do local/offline development testing using the OpenAI client. Just another way to make it easier to use `txtai`!"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "local",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.21"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
